LENOVO 30HACTO1WW
Geekbench AI Score
13577
Single Precision Score
23096
Half Precision Score
10834
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Ansible212 |
| Upload Date | December 15 2024 01:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 2000 Ada Generation |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 30HACTO1WW |
| Motherboard | LENOVO 1066 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900 |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5735
1.07 KIPS |
|
|
Image Classification (HP)
|
99% |
10175
1.90 KIPS |
|
|
Image Classification (Q)
|
99% |
5169
964.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
9032
146.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11913
193.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
8361
136.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
61847
72.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
195122
227.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
54759
64.2 IPS |
|
|
Object Detection (SP)
|
100% |
7153
567.4 IPS |
|
|
Object Detection (HP)
|
100% |
11458
908.9 IPS |
|
|
Object Detection (Q)
|
84% |
6306
508.6 IPS |
|
|
Face Detection (SP)
|
100% |
15487
184.0 IPS |
|
|
Face Detection (HP)
|
100% |
25443
302.3 IPS |
|
|
Face Detection (Q)
|
97% |
14099
168.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
31251
240.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
62650
482.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
25862
207.3 IPS |
|
|
Style Transfer (SP)
|
100% |
112092
144.1 IPS |
|
|
Style Transfer (HP)
|
100% |
284852
366.2 IPS |
|
|
Style Transfer (Q)
|
98% |
93643
120.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22339
824.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37070
1.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16878
625.0 IPS |
|
|
Text Classification (SP)
|
100% |
2673
3.57 KIPS |
|
|
Text Classification (HP)
|
99% |
3092
4.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1700
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2868
49.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3063
52.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1525
28.6 IPS |
